Job Description :

Experience :

- 8-10+ years of experience in data engineering, data design, and analytics platforms.

- 5+ years of hands-on development using Python and SQL.

- 4+ years of experience with cloud platforms (AWS preferred).

- 4+ years of experience with workflow orchestration tools such as Airflow.

- Strong experience designing and implementing automated ELT/ETL pipelines.

- Experience with relational, columnar, NoSQL, and cloud data stores (e.g., Vertica, RedShift, cloud data warehouses).

- Proven expertise in SQL performance tuning and troubleshooting.

- Proficiency with Git-based version control and CI/CD pipelines.

Core Skills :

- Strong data modeling and data integrity expertise.

- Excellent analytical, problem-solving, and multitasking skills.

- Ability to independently drive complex data initiatives.

- Strong verbal and written communication skills.

Education :

- UG : Any Graduate

Key Skills :

- Skills highlighted with are preferred keyskills : Lead Data Engineer, Data Warehousing, ETL, AWS, Python, Airflow, Data Engineering, People Management Skills, SQL.